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A CALPHAD-Informed Approach to Modeling Constituent Redistribution in Zr-Based Metallic Fuels using BISON
Journal of Nuclear Materials ( IF 2.8 ) Pub Date : 2020-11-09 , DOI: 10.1016/j.jnucmat.2020.152657
Jacob Hirschhorn , Michael Tonks , Christopher Matthews

A CALPHAD-informed (Computer Coupling of Phase Diagrams and Thermochemistry) constituent redistribution model was developed for Zr-based metallic fuels and incorporated into the BISON fuel performance code. Three uncertain model parameters associated with β and γ phase kinetics were calibrated using integral test data from U-Zr fuel elements irradiated in Experimental Breeder Reactor II. The calibrated constituent redistribution model was shown to predict the behavior of U-Zr fuels with excellent accuracy. Model predictions for U-Pu-Zr fuels were physically reasonable but less accurate. Reduction of uncertainties in the ternary phase transition temperatures and collection of kinetic data for the ζ phase are expected to improve the model’s ternary predictions. Finally, the new model was coupled to existing thermomechanics models in BISON to simulate irradiation of an entire U-Zr fuel element, demonstrating its ability to accurately predict the behavior of U-Zr fuels with realistic geometries and mesh resolutions at the engineering scale.



中文翻译:

使用BISON的CALPHAD信息化方法对基于Zr的金属燃料中的成分再分配进行建模

针对基于Zr的金属燃料开发了CALPHAD告知(相图和热化学的计算机耦合)成分重新分配模型,并将其纳入BISON燃料性能代码中。与以下三个相关的不确定模型参数βγ使用来自在实验育种反应堆II中辐照的U-Zr燃料元素的积分测试数据,对相动力学进行了校准。校准后的成分再分配模型显示出以极高的准确性预测U-Zr燃料的性能。U-Pu-Zr燃料的模型预测在物理上是合理的,但准确性较低。减少三元相变温度的不确定性并收集动力学数据ζ期望阶段可以改善模型的三元预测。最后,将新模型与BISON中现有的热力学模型耦合,以模拟整个U-Zr燃料元件的辐照,证明其具有在工程规模下以实际几何形状和网格分辨率准确预测U-Zr燃料行为的能力。

更新日期:2020-11-09
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